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Mapping Operator Jobs (NOW HIRING)

Autonomous Vehicle Test Operator II

Pittsburgh, PA · On-site

$17.75 - $21.75/hr

AV Test Operator II will support the business by working with Operations, Testing, Autonomy, Mapping, and System and Vehicle Integration Engineers to execute in-vehicle tests, refine test and ...

Autonomous Vehicle Test Operator II

Pittsburgh, PA · On-site

$17.75 - $21.75/hr

AV Test Operator II will support the business by working with Operations, Testing, Autonomy, Mapping, and System and Vehicle Integration Engineers to execute in-vehicle tests, refine test and ...

Business Architect

Buffalo, NY · Remote

$51.67 - $86.11/hr

Business capability maps * Value stream models * Operating models * Strategic roadmaps * Gap analyses and capability assessments * Strong knowledge of: * Business architecture methodologies

Key Skills & Abilities Ability to read and interpret documents such as safety rules, road signs, maps, operating and maintenance instructions, and procedure manuals. Ability to write simple ...

The Mobile System Operator for the OSP Digital Twin Division is responsible for managing, operating ... Mount, configure, operate, and monitor mobile mapping system, 360 panoramic camera, GPS equipment ...

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Mapping Operator information

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How much do mapping operator jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for mapping operator in the United States is $20.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.12 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Mapping Operator?

Mapping Operators are responsible for collecting, analyzing, and inputting geographic data to create detailed maps and databases. On a daily basis, they work with specialized mapping software to edit, update, and verify spatial information, often collaborating with surveyors, engineers, or urban planners. The role may also involve reviewing aerial or satellite imagery, performing quality checks, and troubleshooting data discrepancies. Attention to detail and a commitment to accuracy are essential, as their work directly supports decision-making in construction, environmental planning, and infrastructure projects.

What are the key skills and qualifications needed to thrive in the Mapping Operator position, and why are they important?

To thrive as a Mapping Operator, you need strong spatial awareness, attention to detail, and foundational knowledge of cartography or geography, often backed by relevant certifications or an associate degree. Proficiency with Geographic Information Systems (GIS), mapping software such as ArcGIS or QGIS, and data entry tools is typically required. Excellent problem-solving skills, teamwork, and effective communication are standout soft skills in this position. These qualities ensure accurate map production, efficient data management, and seamless collaboration with engineering, surveying, or planning teams.

What is a mapping operator?

A mapping operator is a professional who uses specialized software and tools to create, update, and analyze geographic maps and spatial data. They often work with Geographic Information Systems (GIS) and require attention to detail and technical skills to ensure accurate representation of geographic features.

What are mapping jobs called?

Mapping jobs are typically called Geographic Information System (GIS) Technician, Cartographer, or Mapping Technician roles. These positions involve creating, updating, and analyzing maps using GIS software and often require spatial analysis skills and attention to detail.

Can you make money map making?

Mapping operators can earn income through employment with mapping or GIS companies, government agencies, or by freelancing on projects. Income varies based on experience, skills with GIS software, and the complexity of mapping tasks performed.

What is a Mapping Operator job?

A Mapping Operator is responsible for collecting, processing, and analyzing geographic and cartographic data using specialized tools and software. They often work with GIS (Geographic Information Systems), GPS equipment, and digital mapping technologies to create accurate maps and spatial data representations. Their duties may include updating maps, ensuring data accuracy, and assisting in navigation and surveying projects. Mapping Operators are commonly employed in industries like transportation, environmental planning, and telecommunications.

What does a mapping driver do?

A mapping driver operates vehicles to collect geographic data used for creating or updating maps. They often work with GPS devices and may need to follow specific routes or schedules to ensure accurate data collection for mapping projects.
More about Mapping Operator jobs
What are the most commonly searched types of Mapping Operator jobs? The most popular types of Mapping Operator jobs are:
What states have the most Mapping Operator jobs? States with the most job openings for Mapping Operator jobs include:
Infographic showing various Mapping Operator job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $41,738 per year, or $20.1 per hour.

Robotics Software Engineer, SLAM & 3D Mapping

FieldAI

Irvine, CA • On-site

$140K - $180K/yr

Full-time

Re-posted 22 days ago


Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Do
FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
We're looking for a Robotics Software Engineer, SLAM & 3D Mapping to design and deploy advanced robot perception and 3D mapping systems at FieldAI. Based in our Irvine office, this is a true robot-in-the-loop role where you will work hands-on with physical robots, real sensors, and real field environments.
FieldAI's Irvine team sits at the center of Southern California's robotics ecosystem, building risk-aware, reliable, and field-ready AI systems that operate outside the lab. In this role, you will develop scalable, production-grade point cloud and mapping pipelines that power customer deliverables and globally deployed robotic systems.
You will own workflows spanning data capture through documentation, integrating laser scanners, validating mapping performance in realistic environments, and continuously improving reliability through rigorous engineering.
What You Get To Do:
  • Design and develop scalable LiDAR mapping algorithms to support autonomous robot operations.
  • Improve the accuracy, robustness, and scalability of point cloud processing pipelines used in online and offline mapping systems.
  • Deploy large-scale mapping systems and data processing pipelines in production and ensure efficient and quality customer deliverables.
  • Validate mapping systems and algorithms through testing on real robots and in large-scale unstructured environments.
  • Collaborate cross-functionally to meet project-specific documentation requirements and customer expectations.
What You Have:
  • Master's degree or Ph.D. in Computer Science, Engineering, or a related field, with expertise in robotics and 3D computer vision.
  • Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code in production.
  • Solid theoretical knowledge of 3D geometry, computer vision and robot kinematics.
  • Solid understanding of point cloud data structure and related algorithms (e.g., ICP, NDT).
  • Experience with LiDAR SLAM algorithms and optimization tools such as Ceres, GTSAM, or g2o.
  • Hands-on experience with tools and libraries such as PCL, Open3D, Autoware.
  • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
  • Familiarity with LiDAR systems and 3D data formats (e.g., PCD, PLY, E57, LAS).
  • Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities.
  • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills.
The Extras That Set You Apart:
  • Research experience with publications in top-tier robotics, computer vision, or machine vision venues
  • Familiarity with tools such as CloudCompare, Leica Cyclone, Faro Scene, or Trimble RealWorks
  • Familiarity with geospatial data, georeferencing, and coordinate systems
  • Experience with survey control, calibration workflows, or on-site measurement tools (e.g., total stations)

$140,000 - $180,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.